85 citations · 220 across the 13 of their papers we have counts for
3 papers · 1 filter
Locally Learned Synaptic Dropout for Complete Bayesian Inference
Kevin L. McKee, Ian C. Crandell, Rishidev Chaudhuri +1
The Bayesian brain hypothesis postulates that the brain accurately operates on statistical distributions according to Bayes' theorem. The random failure of presynaptic vesicles to…
Statistical Learning in Speech: A Biologically Based Predictive Learning Model
John Rohrlich, Randall C. O'Reilly
Infants, adults, non-human primates and non-primates all learn patterns implicitly, and they do so across modalities. The biological evidence supports the hypothesis that the mecha…
The Structure of Systematicity in the Brain
Randall C. O'Reilly, Charan Ranganath, Jacob L. Russin
A hallmark of human intelligence is the ability to adapt to new situations, by applying learned rules to new content (systematicity) and thereby enabling an open-ended number of in…